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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Senior Security Architect

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 7 years of cybersecurity experience with demonstrated practice in both IT infrastructure security and product or application security.
  • Practical experience with threat-modeling methods such as STRIDE or PASTA, including independently facilitating sessions with engineering teams.
  • Strong knowledge of DevSecOps tooling, including SAST, DAST, secrets scanning, software composition analysis, and CI/CD pipeline integration.
  • Experience designing or evaluating cloud security architectures on AWS, Azure, or GCP.
  • Solid understanding of embedded and IoT security principles, including secure boot, firmware integrity, OTA update security, and hardware trust anchors.
  • Knowledge of relevant standards and regulations, including ISO 27001, IEC 62443, NIS2, and the EU Cyber Resilience Act.
  • Ability to explain a risk register to company leadership and work through a threat model with an embedded engineer.
  • Completed degree in Computer Science, IT Security, Electrical Engineering, or a comparable field, or equivalent demonstrated professional experience.

Responsibilities

  • Develop security architecture across IT and product, review designs, identify vulnerabilities, and drive improvements across embedded systems, cloud services, and enterprise IT.
  • Develop and maintain reference architectures for secure OTA update pipelines, zero-trust network design, cloud-native security, embedded and firmware security, IAM, and secrets management.
  • Lead threat-modeling sessions for major initiatives in product verticals and IT infrastructure, producing prioritized risk maps.
  • Build and maintain the company-wide security risk register and translate technical findings into actionable assessments for company leadership.
  • Define security standards for teams and ensure their implementation.
  • Integrate security into the development lifecycle by selecting and configuring SAST/DAST tools, secrets scanning, and dependency scanning in CI/CD pipelines.
  • Own vulnerability management, including the CVE triage process and remediation SLAs, and coordinate across product verticals and IT operations.
  • Map the product and IT landscape against regulatory requirements, including the EU Cyber Resilience Act, NIS2, ISO 27001, and IEC 62443, and proactively close gaps.
  • Define minimum security standards for third-party components, libraries, and vendor integrations in the supply chain.
  • Coordinate external penetration tests, define their scope, and ensure findings are remediated.
  • Define the requirements profile for future Product Security Engineers in the product verticals and shape their onboarding and mandate.
  • Review key architecture decisions, communicate trade-offs, and translate risks for developers and company leadership.

Desired Qualifications

  • CISSP, CISM, or a comparable certification.
  • Experience in robotics, industrial automation, connected hardware, or AI-system environments.
  • Knowledge of current AI and ML security risks, including adversarial inputs, model theft, and training data integrity.

About the Company

Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Neura Robotics builds cognitive robots for industrial and service settings, combining perception, manipulation, and human collaboration. It develops both the hardware and the software stack for Physical AI, creating robot platforms like MAiRA, MAV, LARA and MiPA along with training infrastructure. The system works by integrating sensing, decision-making, and manipulation capabilities on a hardware-software stack that can be deployed in large-scale production, with the company planning robots fleets and NEURA Gyms for ongoing training and improvement. What sets Neura Robotics apart is its end-to-end approach to Physical AI, including a focus on mass production, an established global deployment plan, and a broad ecosystem of strategic backers and partners that support scaling and international expansion. The goal is to enable worldwide deployment of its robot platforms and associated training infrastructure, turning physical AI into widely available industrial and service automation.

Company size
501-1,000
Company stage
Series C
Total funding
$1.7B
Headquarters
Metzingen, Germany
Founded
2019

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